RAPIDS

May 19, 2023

Limit Order Book Dataset Generation for Accelerated Short-Term Price Prediction with RAPIDS

In the high-frequency trading world, thousands of market participants interact daily. In fact, high-frequency trading accounts for more than half of the US...

9 MIN READ

May 09, 2023

NVIDIA On-Demand: RAPIDS Sessions from GTC 2023

Get the latest best practices about how to accelerate your data science projects with RAPIDS.

1 MIN READ

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Apr 18, 2023

New GPU Library Lowers Compute Costs for Apache Spark ML

Spark MLlib is a key component of Apache Spark for large-scale machine learning and provides built-in implementations of many popular machine learning...

6 MIN READ

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Apr 06, 2023

Ask Me Anything: Experts Answer Your NVIDIA cuGraph Questions Live

Join us April 12 and ask experts about NVIDIA cuGraph with added support for GNN, accelerated aggregators, models, and extensions to DGL and PyG.

1 MIN READ

Apr 04, 2023

Topic Modeling and Image Classification with Dataiku and NVIDIA Data Science

The Dataiku platform for everyday AI simplifies deep learning. Use cases are far-reaching, from image classification to object detection and natural language...

11 MIN READ

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Mar 22, 2023

SDKs Accelerating Industry 5.0, Data Pipelines, Computational Science, and More Featured at NVIDIA GTC 2023

At NVIDIA GTC 2023, NVIDIA unveiled notable updates to its suite of NVIDIA AI software for developers to accelerate computing. The updates reduce costs in...

10 MIN READ

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Mar 22, 2023

Reusable Computational Patterns for Machine Learning and Data Analytics with RAPIDS RAFT

RAPIDS is a suite of accelerated libraries for data science and machine learning on GPUs: cuDF for pandas-like data structures, cuGraph for graph data, and cuML...

11 MIN READ

An illustration of production AI workflow applications such as video conferencing, computer vision, and robotics.

Mar 21, 2023

Catapulting Enterprises to the Leading Edge of AI with NVIDIA AI Enterprise 3.1

Generative AI has marked an important milestone in the AI revolution journey. We are at a fundamental breaking point where enterprises are not only getting...

4 MIN READ

Mar 15, 2023

Smarter Retail Data Analytics with GPU Accelerated Apache Spark Workloads on Google Cloud Dataproc

A retailer's supply chain includes the sourcing of raw materials or finished goods from suppliers; storing them in warehouses or distribution centers; and...

13 MIN READ

Mar 14, 2023

Accelerated Data Analytics: Speed Up Data Exploration with RAPIDS cuDF

This post is part of a series on accelerated data analytics: Accelerated Data Analytics: Faster Time Series Analysis with RAPIDS cuDF walks you through the...

11 MIN READ

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Feb 24, 2023

Top Data Science Sessions at NVIDIA GTC 2023

Learn about the latest AI and data science breakthroughs from leading data science teams at NVIDIA GTC 2023.

1 MIN READ

Feb 09, 2023

GPU-Accelerated JSON Data Processing with RAPIDS

JSON is a widely adopted format for text-based information working interoperably between systems, most commonly in web applications. While the JSON format is...

8 MIN READ

Feb 08, 2023

Categorical Features in XGBoost Without Manual Encoding

XGBoost is a decision-tree–based, ensemble machine learning algorithm based on gradient boosting. However, until recently, it didn’t natively support...

5 MIN READ

Dec 14, 2022

Saving Apache Spark Big Data Processing Costs on Google Cloud Dataproc

According to IDC, the volume of data generated each year is growing exponentially. IDC’s Global DataSphere projects that the world will generate 221 ZB...

8 MIN READ

Dec 06, 2022

Faster HDBSCAN Soft Clustering with RAPIDS cuML

HDBSCAN is a state-of-the-art, density-based clustering algorithm that has become popular in domains as varied as topic modeling, genomics, and geospatial...

9 MIN READ

Oct 19, 2022

Achieving 100x Faster Single-Cell Modality Prediction with NVIDIA RAPIDS cuML

Single-cell measurement technologies have advanced rapidly, revolutionizing the life sciences. We have scaled from measuring dozens to millions of cells and...

8 MIN READ